Coordinatore | UNIVERSITA DEGLI STUDI DI PAVIA
Organization address
address: STRADA NUOVA 65 contact info |
Nazionalità Coordinatore | Italy [IT] |
Totale costo | 483˙000 € |
EC contributo | 483˙000 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-2010-IRSES |
Funding Scheme | MC-IRSES |
Anno di inizio | 2011 |
Periodo (anno-mese-giorno) | 2011-06-01 - 2014-11-30 |
# | ||||
---|---|---|---|---|
1 |
UNIVERSITA DEGLI STUDI DI PAVIA
Organization address
address: STRADA NUOVA 65 contact info |
IT (PAVIA) | coordinator | 126˙000.00 |
2 |
CENTRE NATIONAL D'ETUDES SPATIALES - CNES
Organization address
address: Place Maurice Quentin 2 contact info |
FR (PARIS) | participant | 126˙000.00 |
3 |
UNIVERSIDAD DE EXTREMADURA
Organization address
address: AVENIDA DE ELVAS S/N contact info |
ES (BADAJOZ) | participant | 126˙000.00 |
4 |
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
Organization address
address: Welfengarten 1 contact info |
DE (HANNOVER) | participant | 105˙000.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'the focus of this proposal is on the development of free/open source tools in the framework of collaborative environment with emphasis on remote sensing analysis tools for risk assessment. The software tools that we plan to develop aim at being robust, easy to use and 'free' (if not open source) in order for them to be used in a collaborative way by researchers and other actors in our community (and possibly in other communities) for extracting information from imagery that may be useful to map risk and its parts: vulnerability, exposure and hazard.'
Earth observation (EO) satellites populate massive and ever-growing remotely sensed data archives, but there are no standard tools to extract and analyse useful information. An EU-funded project has developed free/opensource software solutions to fill this gap.
The shortage of widely accepted software tools for effective extraction and analysis of information from the exponentially increasing volume of EO data has led to off-the-shelf solutions. Many in the remotesensing community also design their own tools without sharing them with the wider community.
The EU-funded project http://tolomeofp7.unipv.it/ (TOLOMEO) (Tools for open multi-risk assessment using Earth observation data) was initiated to promote international cooperation for the development of free/opensource software solutions. Partners in Europe and South America joined their effort to offer the means to analyse and assess multiple risks.
With a focus on robustness, ease of use and adaptability, the TOLOMEO team developed techniques for mapping human settlements. Nowadays, most of the population live in urban areas, and threats to human lives such as man-made and natural disasters are increasingly perceived as sources of losses in urban areas.
With urban areas and their specific features as input information, researchers have developed tools for assessing human exposure to deforestation risks, earthquake physical vulnerability, flood vulnerability and many others. Eventually, they gathered sample data to validate the developed tools.
The research work of the TOLOMEO partners has now been completed, and the final version of the tools was released to the public. Technical guidelines and connections chains have also been defined for the software parts to create a seamless package.
All of these milestones were accomplished by exploiting the expertise that each of the TOLOMEO partners possessed in the development of software. In particular, extensive staff exchange during the lifetime of the project allowed receiving feedback needed to enhance the tools' designs.
TOLOMEO solutions are expected to help the European remotesensing community to make the most of the wealth of available EO data. Moreover, thanks to TOLOMEO, Europe has established additional channels for continuous cooperation with South America, where Brazil is one of the major players in the exploitation of EO data to support environmental management.